A method includes learning, by at least one device associated with a slice selection function, a slice reselection decision for at least one self-operation case. The method includes determining, by the at least one device associated with the slice selection function, whether an evaluation condition for at least one new self-operation case has been met. The at least one new self-operation case includes the at least one self-operation case. The method also includes requesting, at least one device associated with a management function, evaluate the at least one new self-operation case in response to determining that the evaluation condition has been met, receiving evaluation results from the at least one device associated with the management function, and learning the evaluation results.
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2. The method of claim 1, wherein learning the evaluation results further comprises learning at least one of at least one new reason type, at least one revised reselection decision, and a validity of a particular case of the at least one new self-operation case.
3. The method according to claim 1, wherein determining whether the evaluation condition has been met further comprises determining that at least one of a number of new self-operation cases equals a predetermined threshold or a that a predetermined time interval has elapsed.
14. The apparatus of claim 12, wherein the apparatus is further configured to evaluate the at least one self-operation case based on at least one of a management object domain and an attribute domain.
15. The apparatus of claim 12, wherein the apparatus is further configured to evaluate the at least one self-operation case based on at least one of a particular self-operation case, an element of the particular self-operation case, and a uniform resource identifier of the particular self-operation case.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
August 23, 2017
August 16, 2022
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